Walk AI data readiness with evidence
Assess AI data readiness by asking for evidence across ownership, quality, and access controls.
Readiness dispute The warehouse is live, but the AI pilot depends on customer fields nobody has audited since the CRM redesign. If readiness is judged by platform completion, risk hides in business data definitions and operating controls. DCAM lens Engagement + process + evidence A capability is real when the right people participate, the process is repeatable, and there is auditable evidence. Use that triad to test AI data readiness. Vibe check Ask if people feel ready A scoped readiness path instead of a vague maturity debate. Do not score readiness at the platform level when the AI risk lives…
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